research Pre‐polycystic ovary syndrome and polymenorrhoea as new facets of polycystic ovary syndrome (PCOS): Evidences from a single centre data set
Polymenorrhoea should be included in PCOS diagnostic criteria due to similar metabolic issues.
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research Enhanced Hair Disease Classification Using Deep Learning
The model accurately classifies hair conditions with 97% accuracy.
research PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery
PandaOmics uses AI to find new disease treatment targets and biomarkers.
research Using morphological operators and inpainting for hair removal in dermoscopic images
The new algorithm removes hair from skin images better than previous methods, helping diagnose melanoma.
research Bioinformatics analysis and verification of m6A related genes based on the construction of keloid diagnostic model
IGF2BP3 and other m6A-related genes are linked to keloid formation and could be potential treatment targets.
research Research on hair removal algorithm of dermatoscopic images based on maximum variance fuzzy clustering and optimization Criminisi algorithm
The new hair removal algorithm for skin images works better for detecting and fixing hair, improving melanoma diagnosis.
research Sparse haplotype-based fine-scale local ancestry inference at scale reveals recent selection on immune responses
Recent selection on immune response genes was identified across seven ethnicities.
research Bioinformatics analysis and verification of m6A related genes based on the construction of keloid diagnostic model
IGF2BP3 gene is up-regulated in keloid patients, suggesting potential targets for treatment.
research Plasma proteome–driven identification of druggable immune regulators of alopecia areata, validated by transcriptome and single-cell mapping
Belatacept may be a promising treatment for alopecia areata.
research Towards Best Practice in Hair Metabolomic Studies: Systematic Investigation on the Impact of Hair Length and Color
Hair color and length affect metabolite profiles in hair, so they should be considered in hair analysis.
research Why Do Promising Therapies Stall in Development and How Can We Move Them Forward?
Most drugs fail to reach the market, but understanding their properties and using strategies like early toxicity tests and drug repurposing can help advance their development.
research Assessment of Multidimensional Health Care Parameters Among Adults in Japan for Developing a Virtual Human Generative Model: Protocol for a Cross-sectional Study
The study aims to create a model to predict health attributes using diverse health data from Japanese adults.
research Prediction of Alopecia Areata using CNN
A new CNN model can detect Alopecia Areata with 98% accuracy.
research Boundary-aware Multi-stage with Mobile U-Net for Hair Segmentation in Dermoscopic Images
The new method improves hair segmentation in skin images, helping detect skin cancer more accurately.
research Weakly-Supervised Hair SEM Microscope Image Segmentation Using a Priori Structure Information
The method improves hair image segmentation accuracy while reducing annotation costs.
research Identification of immune microenvironment changes, immune-related pathways and genes in male androgenetic alopecia
The research suggests immune system changes and specific gene expression may contribute to male hair loss, proposing potential new treatments.
research Integrated single-cell RNA-sequencing data of unwounded and wounded mouse skin and fibroblasts.
The dataset includes detailed genetic information from mouse skin cells before and after injury.
research Integrated single-cell RNA-sequencing data of unwounded and wounded mouse skin and fibroblasts.
The dataset includes detailed genetic information from mouse skin cells before and after injury.
research A Comprehensive Survey on Vitiligo Detection Using Deep Learning
Better datasets and methods are needed for reliable vitiligo detection using deep learning.
research Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events
A new method makes analyzing large datasets with rare events faster and more efficient.
research Twenty-Five and Up (25Up) Study: A New Wave of the Brisbane Longitudinal Twin Study
The 25Up study collected extensive data on mental disorders and related factors in Australian twins and siblings to investigate the genetics of psychiatric illnesses.
research The Dark Side of the Language: Pre-trained Transformers in the DarkNet
Pre-trained Transformers need extreme retraining to perform well on DarkNet data.
research HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.
research 891 Comparison of phenotypes and transcriptomes of mouse skin-derived precursors and dermal mesenchymal stem cells
The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.
research Automated Machine Learning Analysis of Patients With Chronic Skin Disease Using a Medical Smartphone App: Retrospective Study
Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.
research Use of a Healthcare Claims Database for Post-Marketing Safety Assessments of Eribulin in Japan: A Comparative Assessment with a Prospective Post-Marketing Surveillance Study
Healthcare claims databases can help monitor drug safety, but may report adverse events differently than direct surveillance.
research Revisiting the significance of keratin expression in complex epithelia
Keratin genes change gradually during skin cell development and should be used carefully as biomarkers.
research Correlation Between Interest in COVID-19 Hair Loss and COVID-19 Surges: Analysis of Google Trends
Public interest in COVID-19-related hair loss increased during COVID-19 surges, especially with the omicron variant.
research Correlation Between Interest in COVID-19 Hair Loss and COVID-19 Surges: Analysis of Google Trends (Preprint)
Interest in COVID-19 hair loss increased during COVID-19 surges, especially in higher-income countries.
research Genetic prediction of male pattern baldness
Genetic factors can help predict male pattern baldness risk.